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U.S. Department of Energy
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Development of a knowledge based system for diagnosing electrical faults in mining machinery: Final report for the 1986--1987 SOMED project year

Technical Report ·
OSTI ID:6179484
Rigorous duty cycles and harsh operating environments contribute to electrical component failures in mining machinery, thus reducing productivity at the working face. This report explains a rule-based expert system utilizing the microcomputer that may assist maintenance personnel in diagnosing electrical faults in the relatively complex electrical circuit of a shuttle car. By gathering information such as voltage and resistance measurements, the user acts as an interface between the machine circuit and expert system to diagnose single component failures caused by open and short circuits. The report also covers the structure of the expert system development tool, Insight 2+, chosen to develop the knowledge base. 16 refs., 12 figs.
Research Organization:
Alabama Univ., University (USA). School of Mines and Energy Development
OSTI ID:
6179484
Report Number(s):
UA-9010788; ON: TI89010788
Country of Publication:
United States
Language:
English